Complexity and nonlinearity in cardiovascular signals

Description

This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at obtaining reliable, effective markers for the assessment of heartbeat, respiratory, and blood pressure dynamics. The chapters describe in detail methods that have been previously defined in theoretical physics such as entropy, multifractal spectra, and Lyapunov exponents, contextualized within physiological dynamics of cardiovascular control, including autonomic nervous system activity. Additionally, the book discusses several application scenarios of these methods. The text critically reviews the current state-of-the-art research in the field that has led to the description of dedicated experimental protocols and ad-hoc models of complex physiology. This text is ideal for biomedical engineers, physiologists, and neuroscientists. This book also: Expertly reviews cutting-edge research, such as recent advances in measuring complexity, nonlinearity, and information-theoretic concepts applied to coupled dynamical systems Comprehensively describes applications of analytic technique to clinical scenarios such as heart failure, depression and mental disorders, atrial fibrillation, acute brain lesions, and more Broadens readers' understanding of cardiovascular signals, heart rate complexity, heart rate variability, and nonlinear analysis. Read more... Abstract: This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at obtaining reliable, effective markers for the assessment of heartbeat, respiratory, and blood pressure dynamics. The chapters describe in detail methods that have been previously defined in theoretical physics such as entropy, multifractal spectra, and Lyapunov exponents, contextualized within physiological dynamics of cardiovascular control, including autonomic nervous system activity. Additionally, the book discusses several application scenarios of these methods. The text critically reviews the current state-of-the-art research in the field that has led to the description of dedicated experimental protocols and ad-hoc models of complex physiology. This text is ideal for biomedical engineers, physiologists, and neuroscientists. This book also: Expertly reviews cutting-edge research, such as recent advances in measuring complexity, nonlinearity, and information-theoretic concepts applied to coupled dynamical systems Comprehensively describes applications of analytic technique to clinical scenarios such as heart failure, depression and mental disorders, atrial fibrillation, acute brain lesions, and more Broadens readers' understanding of cardiovascular signals, heart rate complexity, heart rate variability, and nonlinear analysis Front Matter ....Pages i-viii Front Matter ....Pages 1-1 Introduction to Complex Cardiovascular Physiology (Michele Orini, Riccardo Barbieri, Mimma Nardelli, Enzo Pasquale Scilingo, Gaetano Valenza)....Pages 3-42 Front Matter ....Pages 43-43 Symbolic Dynamics, Poincaré Plot Analysis and Compression Entropy Estimate Complexity in Biological Time Series (Steffen Schulz, Andreas Voss)....Pages 45-85 Information Decomposition: A Tool to Dissect Cardiovascular and Cardiorespiratory Complexity (Luca Faes, Giandomenico Nollo, Alberto Porta)....Pages 87-113 Multiscale Entropy: Recent Advances (Meng Hu, Hualou Liang)....Pages 115-138 Introduction to Complex Systems Analysis with Wavelets (Nicola Vanello, Luigi Landini)....Pages 139-159 Intermittency-Driven Complexity in Signal Processing (Paolo Paradisi, Paolo Allegrini)....Pages 161-195 Self-Similarity and Detrended Fluctuation Analysis of Cardiovascular Signals (Paolo Castiglioni, Marco Di Rienzo, Andrea Faini)....Pages 197-232 Time-Varying Cardiovascular Complexity with Focus on Entropy and Lyapunov Exponents (Gaetano Valenza, Luca Citi, Enzo Pasquale Scilingo, Riccardo Barbieri)....Pages 233-256 Time-Frequency Analysis of Cardiovascular Signals and Their Dynamic Interactions (Michele Orini, Pablo Laguna, Luca T. Mainardi, Raquel Bailón)....Pages 257-287 Front Matter ....Pages 289-289 Measurements of Cardiovascular Signal Complexity for Advanced Clinical Applications (Roberto Sassi, Sergio Cerutti)....Pages 291-299 Applications of Complexity Analysis in Clinical Heart Failure (Chengyu Liu, Alan Murray)....Pages 301-325 Heart Rate Complexity Associated with Diabetic Cardiac Neuropathy (Herbert F. Jelinek, David J. Cornforth)....Pages 327-344 Applications of Heartbeat Complexity Analysis to Depression and Bipolar Disorder (Gaetano Valenza, Luca Citi, Antonio Lanata, Claudio Gentili, Riccardo Barbieri, Enzo Pasquale Scilingo)....Pages 345-374 Cardiac Autonomic Changes in Epilepsy (Andrea Romigi, Nicola Toschi)....Pages 375-386 Applications of Nonlinear Methods to Atrial Fibrillation (Raúl Alcaraz, José J. Rieta)....Pages 387-426 Complex and Nonlinear Analysis of Heart Rate Variability in the Assessment of Fetal and Neonatal Wellbeing (Maria G. Signorini, Giovanni Magenes, Manuela Ferrario, Maristella Lucchini)....Pages 427-450 ARFIMA-GARCH Modeling of HRV: Clinical Application in Acute Brain Injury (Rute Almeida, Celeste Dias, Maria Eduarda Silva, Ana Paula Rocha)....Pages 451-468 Age and Gender Dependency of Complexity Measures of Short-Term Heart Rate Time Series (Rico Schroeder, Andreas Voss)....Pages 469-502 Complexity and Nonlinearities in Cardiorespiratory Signals in Sleep and Sleep Apnea (Carolina Varon, Sabine Van Huffel)....Pages 503-537